/aosp_15_r20/external/icu/icu4c/source/data/rbnf/ |
H A D | pl.txt | 60 "1000: tysi\u0105c[ >%%spellout-cardinal-masculine-genitive-ones>];", 61 …(cardinal,few{tysi\u0105ce}other{tysi\u0119cy})$[ >%%spellout-cardinal-masculine-genitive-ones>];", 64 "1000000000: miliard[ >%%spellout-cardinal-masculine-genitive-ones>];", 66 "1000000000000: bilion[ >%%spellout-cardinal-masculine-genitive-ones>];", 68 "1000000000000000: biliard[ >%%spellout-cardinal-masculine-genitive-ones>];", 94 "20: <%%spellout-cardinal-tens<[ >%%spellout-cardinal-feminine-ones>];", 95 "100: sto[ >%%spellout-cardinal-feminine-ones>];", 96 "200: dwie\u015Bcie[ >%%spellout-cardinal-feminine-ones>];", 97 "300: <%spellout-cardinal-feminine<sta[ >%%spellout-cardinal-feminine-ones>];", 98 "500: <%spellout-cardinal-feminine<set[ >%%spellout-cardinal-feminine-ones>];", [all …]
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/aosp_15_r20/external/cronet/third_party/icu/source/data/rbnf/ |
H A D | pl.txt | 60 "1000: tysi\u0105c[ >%%spellout-cardinal-masculine-genitive-ones>];", 61 …(cardinal,few{tysi\u0105ce}other{tysi\u0119cy})$[ >%%spellout-cardinal-masculine-genitive-ones>];", 64 "1000000000: miliard[ >%%spellout-cardinal-masculine-genitive-ones>];", 66 "1000000000000: bilion[ >%%spellout-cardinal-masculine-genitive-ones>];", 68 "1000000000000000: biliard[ >%%spellout-cardinal-masculine-genitive-ones>];", 94 "20: <%%spellout-cardinal-tens<[ >%%spellout-cardinal-feminine-ones>];", 95 "100: sto[ >%%spellout-cardinal-feminine-ones>];", 96 "200: dwie\u015Bcie[ >%%spellout-cardinal-feminine-ones>];", 97 "300: <%spellout-cardinal-feminine<sta[ >%%spellout-cardinal-feminine-ones>];", 98 "500: <%spellout-cardinal-feminine<set[ >%%spellout-cardinal-feminine-ones>];", [all …]
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/aosp_15_r20/external/pytorch/test/ |
H A D | test_functionalization.py | 170 self.assert_functionalization(f, torch.ones(4)) 182 _functionalize(f, reapply_views=True, crossref=self.crossref)(torch.ones(3, 3)) 191 torch.ones(2, 2) 197 y = torch.ones(2) 203 r = _functionalize(f, reapply_views=True, crossref=False)(torch.ones(2)) 210 val = torch.ones(3, 1) 238 logs = self.get_logs(g, torch.ones(16, 64, 128, 128, requires_grad=True)) 277 tmp = torch.ones(4, 2) 283 self.assert_functionalization(f, torch.ones(4, 2)) 284 logs = self.get_logs(f, torch.ones(4, 2)) [all …]
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/aosp_15_r20/external/cldr/common/rbnf/ |
H A D | pl.xml | 71 … <rbnfrule value="1000">tysiąc[ →%%spellout-cardinal-masculine-genitive-ones→];</rbnfrule> 72 …$(cardinal,few{tysiące}other{tysięcy})$[ →%%spellout-cardinal-masculine-genitive-ones→];</rbnfrule> 75 … <rbnfrule value="1000000000">miliard[ →%%spellout-cardinal-masculine-genitive-ones→];</rbnfrule> 77 … <rbnfrule value="1000000000000">bilion[ →%%spellout-cardinal-masculine-genitive-ones→];</rbnfrule> 79 …nfrule value="1000000000000000">biliard[ →%%spellout-cardinal-masculine-genitive-ones→];</rbnfrule> 106 … <rbnfrule value="20">←%%spellout-cardinal-tens←[ →%%spellout-cardinal-feminine-ones→];</rbnfrule> 107 <rbnfrule value="100">sto[ →%%spellout-cardinal-feminine-ones→];</rbnfrule> 108 <rbnfrule value="200">dwieście[ →%%spellout-cardinal-feminine-ones→];</rbnfrule> 109 …rule value="300">←%spellout-cardinal-feminine←sta[ →%%spellout-cardinal-feminine-ones→];</rbnfrule> 110 …rule value="500">←%spellout-cardinal-feminine←set[ →%%spellout-cardinal-feminine-ones→];</rbnfrule> [all …]
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/aosp_15_r20/external/executorch/runtime/core/exec_aten/util/test/ |
H A D | tensor_util_test.cpp | 41 Tensor t = tf_byte_.ones({2, 2}); in TEST_F() 58 Tensor a = tf_byte_.ones({2, 2}); in TEST_F() 59 Tensor b = tf_int_.ones({2, 2}); in TEST_F() 60 Tensor c = tf_float_.ones({2, 2}); in TEST_F() 84 Tensor a = tf_int_.ones({1, 4}); in TEST_F() 85 Tensor b = tf_int_.ones({2, 2}); in TEST_F() 87 Tensor b2 = tf_int_.ones({2, 2}); in TEST_F() 115 Tensor t = tf_int_.ones({}); in TEST_F() 131 Tensor t = tf_int_.ones({0}); in TEST_F() 148 Tensor t = tf_int_.ones({2, 3, 4}); in TEST_F() [all …]
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/aosp_15_r20/external/pytorch/torch/testing/_internal/distributed/rpc/ |
H A D | rpc_test.py | 62 return torch.add(torch.ones(1), torch.ones(1)) 72 t1, t2 = torch.ones(1), torch.ones(1) 81 "aten::ones", 82 "aten::ones", 152 PythonUDF(my_tensor_function, (torch.ones(2, 2), torch.ones(2, 2)), None) 231 a = torch.ones(3, 3) 297 return rpc.rpc_sync(dst, torch.add, args=(torch.ones(2, 2), 1)) 324 rpc.remote(dst, torch.add, args=(torch.ones(2, 2), 1)), 325 rpc.remote(dst, torch.add, args=(torch.ones(2, 2), 2)), 345 rref = rpc.remote(dst, torch.add, args=(torch.ones(2, 2), 3)) [all …]
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/aosp_15_r20/external/tensorflow/tensorflow/compiler/tests/ |
H A D | ftrl_ops_test.py | 86 var=np.ones((1, 3, 2)), 96 var=np.ones((1, 3, 2)), 97 accum=np.ones((1, 3, 2)), 99 grad=np.ones((1, 3, 2)), 101 self.assertAllClose(1.75 * np.ones((1, 3, 2)), linear) 106 var=np.ones((1, 3, 2)), 107 accum=np.ones((1, 3, 2)), 109 grad=np.ones((1, 3, 2)), 111 self.assertAllClose(0.8 * np.ones((1, 3, 2)), linear) 116 var=np.ones((1, 3, 2)), [all …]
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/aosp_15_r20/external/pytorch/test/inductor/ |
H A D | test_split_cat_fx_passes.py | 316 [torch.ones(2, 5, 32, 16)] + split_output + [torch.ones(2, 6, 32, 16)], 323 [torch.ones(2, 4, 32, 16)] 325 + [torch.ones(2, 4, 32, 16), torch.ones(2, 4, 32, 16)], 332 [torch.ones(2, 32, 5, 16)] + split_output + [torch.ones(2, 32, 6, 16)], 340 [torch.ones(2, 4, 32, 16)] + split_output + [torch.ones(2, 4, 32, 16)], 347 [torch.ones(2, 4, 32, 16)] + split_output + [torch.ones(2, 4, 32, 16)], 355 [torch.ones(2, 4, 32, 16)] + split_output + [torch.ones(2, 4, 32, 16)], 362 [torch.ones(2, 4, 32, 16)] + split_output + [torch.ones(2, 4, 32, 16)], 370 [torch.ones(2, 32, 4, 16)] + split_output + [torch.ones(2, 32, 4, 16)], 377 [torch.ones(2, 32, 4, 16)] + split_output + [torch.ones(2, 32, 4, 16)], [all …]
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/aosp_15_r20/external/executorch/kernels/portable/test/ |
H A D | op_allclose_test.cpp | 31 Tensor a = tf_float.ones(/*sizes=*/{2, 2}); in TEST() 32 Tensor b = tf_float.ones(/*sizes=*/{2, 2}); in TEST() 51 Tensor a = tf_double.ones(/*sizes=*/{2, 2}); in TEST() 52 Tensor b = tf_double.ones(/*sizes=*/{2, 2}); in TEST() 111 Tensor a = tf_int.ones(/*sizes=*/{2, 2}); in TEST() 112 Tensor b = tf_int.ones(/*sizes=*/{2, 2}); in TEST() 149 Tensor a = tf_bool.ones(/*sizes=*/{2, 2}); in TEST() 150 Tensor b = tf_bool.ones(/*sizes=*/{2, 2}); in TEST() 167 Tensor a = tf_bool.ones(/*sizes=*/{2, 2}); in TEST() 168 Tensor b = tf_bool.ones(/*sizes=*/{2, 2}); in TEST() [all …]
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/aosp_15_r20/external/tensorflow/tensorflow/python/ops/ |
H A D | nn_fused_batchnorm_test.py | 702 x = array_ops.ones((2, 2, 2, 2)) 703 scale = array_ops.ones((3,)) 704 offset = array_ops.ones((2,)) 710 x = array_ops.ones((2, 2, 2, 2)) 711 scale = array_ops.ones((2,)) 712 offset = array_ops.ones((3,)) 718 x = array_ops.ones((2, 2, 2, 2)) 719 scale = array_ops.ones((2,)) 720 offset = array_ops.ones((2,)) 721 mean = array_ops.ones((0,)) [all …]
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/aosp_15_r20/external/pytorch/test/dynamo/ |
H A D | test_hooks.py | 340 x0 = torch.ones(4, requires_grad=True) 342 eager_out[0].backward(torch.ones(4)) 344 x1 = torch.ones(4, requires_grad=True) 347 aot_out[0].backward(torch.ones(4)) 349 x2 = torch.ones(4, requires_grad=True) 352 dynamo_out[0].backward(torch.ones(4)) 377 x0 = torch.ones(4, requires_grad=True) 379 eager_out[0].backward(torch.ones(4)) 381 x1 = torch.ones(4, requires_grad=True) 384 aot_out[0].backward(torch.ones(4)) [all …]
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/aosp_15_r20/external/pytorch/aten/src/ATen/test/ |
H A D | scalar_tensor_test.cpp | 54 auto t = ones(*s, T); in test() 67 auto t2 = ones(*s, T); in test() 69 require_equal_size_dim(t2, ones({0}, T)); in test() 76 auto t2 = ones(*s, T); in test() 99 require_equal_size_dim(result, ones(size_without_ones, T)); in test() 104 auto t2 = ones(*s, T); in test() 116 auto t2 = ones(*s, T); in test() 124 require_equal_size_dim(t2, ones(size_without_ones, T)); in test() 162 auto lhs = ones(*lhs_it, T); in test() 163 auto rhs = ones(*rhs_it, T); in test() [all …]
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/aosp_15_r20/external/pytorch/torch/testing/_internal/distributed/rpc/jit/ |
H A D | rpc_test.py | 36 return rpc.remote(dst, torch.add, args=(torch.ones(2, 2), 1)) 88 self.assertEqual(ret, torch.add(torch.ones(2, 2), 1)) 145 return torch.add(x, torch.ones(1)) 150 return torch.add(x, torch.ones(1)) 155 t: Tensor = torch.ones(1) 234 res_tensor = torch.ones(2, 2) 256 local_ret = one_arg(torch.ones(2, 2)) 259 rref = rpc.remote(worker_name(self.rank), one_arg, args=(torch.ones(2, 2),)) 284 self.assertEqual(res, torch.ones(2, 2) * 9) 293 self.assertEqual(res, torch.ones(2, 2) + 1) [all …]
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/aosp_15_r20/external/pytorch/test/functorch/ |
H A D | test_aotdispatch.py | 480 inp = [2, None, torch.ones(3, 3, dtype=torch.float32, requires_grad=True)] 482 inp = [2, None, torch.ones(3, 3, dtype=torch.float32, requires_grad=False)] 560 inp = [torch.ones(3, 3, requires_grad=True)] 562 inp = [torch.ones(3, 3, requires_grad=False)] 586 inp = [torch.ones(3, 3, requires_grad=True)] 588 inp = [torch.ones(3, 3, requires_grad=False)] 603 torch.ones(3, 3, requires_grad=False), 620 torch.ones(3, 3, requires_grad=True), 621 torch.ones(3, 3, requires_grad=True), 627 torch.ones(3, 3, requires_grad=False), [all …]
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H A D | test_control_flow.py | 212 (torch.tensor(2), torch.tensor(2), torch.ones(2, 2), torch.ones(2, 2)), 567 x = torch.ones(4, requires_grad=True) 979 y = torch.ones(4, requires_grad=False) * 42 1042 xs = torch.ones(3, 2, 2, device="cuda") 1043 y = torch.ones(2, device="cuda") 1069 _ = control_flow.map(f, (3, torch.ones(2)), torch.ones(2)) 1075 f, (torch.ones(0, 1, 2), torch.ones(0, 1, 2)), torch.ones(2) 1084 f, (torch.ones(3, 4, 5), torch.ones(4, 4, 5)), torch.ones(5) 1097 x = torch.ones([3]) 1098 y = torch.ones([1, 2, 3]) [all …]
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/aosp_15_r20/external/pytorch/test/export/ |
H A D | test_converter.py | 149 inp = (torch.ones(1, 3), torch.ones(1, 3)) 186 return torch.ones(num_dim) 188 inp = (torch.ones(1, 3),) 195 return torch.ones(length) 198 inp = (torch.ones(2, 3),) 204 return torch.ones(length) 213 return torch.ones(length) 222 return torch.ones(length) 231 return torch.ones(length) 240 return torch.ones(length) [all …]
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/aosp_15_r20/external/pytorch/test/cpp/api/ |
H A D | inference_mode.cpp | 65 torch::Tensor c = torch::ones({1, 2, 3}); in TEST() 71 torch::Tensor tmp = torch::ones({1, 2, 3}).set_requires_grad(true); in TEST() 75 tmp = torch::ones({1, 2, 3}).set_requires_grad(false); in TEST() 82 torch::Tensor s = torch::ones({1, 2, 3}).set_requires_grad(true); in TEST() 101 torch::Tensor c = torch::ones({1, 2, 3}).set_requires_grad(requires_grad); in TEST() 112 torch::Tensor c = torch::ones({1, 2, 3}).set_requires_grad(requires_grad); in TEST() 123 torch::Tensor c = torch::ones({1, 2, 3}).set_requires_grad(requires_grad); in TEST() 139 torch::ones({1, 2, 3}).set_requires_grad(requires_grad); in TEST() 160 torch::ones({1, 2, 3}).set_requires_grad(requires_grad); in TEST() 175 torch::ones({1, 2, 3}).set_requires_grad(requires_grad); in TEST() [all …]
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H A D | autograd.cpp | 56 ASSERT_VARIABLE_EQ(x.grad(), y + torch::ones({2, 2})); in TEST() 57 ASSERT_VARIABLE_EQ(y.grad(), x + torch::ones({2, 2}) * 2); in TEST() 64 backward({res}, {torch::ones({2, 2})}, {}, true); in TEST() 66 backward({res}, {torch::ones({2, 2})}); in TEST() 68 ASSERT_VARIABLE_EQ(x.grad(), 2 * (y + torch::ones({2, 2}))); in TEST() 69 ASSERT_VARIABLE_EQ(y.grad(), 2 * (x + torch::ones({2, 2}) * 2)); in TEST() 77 auto grad_res = grad({res}, {x, y}, {torch::ones({2, 2})}); in TEST() 79 ASSERT_VARIABLE_EQ(grad_res[0], y + torch::ones({2, 2})); in TEST() 80 ASSERT_VARIABLE_EQ(grad_res[1], x + torch::ones({2, 2}) * 2); in TEST() 87 res.backward(torch::ones({2, 2}), false, true); in TEST() [all …]
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/aosp_15_r20/external/pytorch/test/distributed/ |
H A D | test_multi_threaded_pg.py | 43 input_tensor = torch.ones(3, 3) * dist.get_rank() # perform 1st all gather 60 input_tensor = torch.ones(3, 3) * dist.get_rank() # perform 1st all gather 77 input_tensor = torch.ones(3, 3) * dist.get_rank() # perform 1st all gather 108 sizes = torch.ones(world_size, dtype=torch.int64) 151 input_tensor = torch.ones(3, 3) * dist.get_rank() 157 self.assertEqual(out_tensor, torch.ones(3, 3) * rank) 160 input_tensor = torch.ones(3, 3) * dist.get_rank() 164 self.assertEqual(cloned_input, torch.ones(3, 3) * rank) 168 scatter_list = [torch.ones(3, 3) * rank for rank in range(self.world_size)] 174 self.assertEqual(output_tensor, torch.ones(3, 3) * dist.get_rank()) [all …]
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/aosp_15_r20/external/mesa3d/src/util/tests/ |
H A D | u_atomic_test.cpp | 51 const TypeParam ones = TypeParam(-1); in TYPED_TEST() local 53 p_atomic_set(&v, ones); in TYPED_TEST() 54 ASSERT_EQ(v, ones) << "p_atomic_set"; in TYPED_TEST() 57 ASSERT_EQ(r, ones) << "p_atomic_read"; in TYPED_TEST() 60 ASSERT_EQ(r, ones) << "p_atomic_read_relaxed"; in TYPED_TEST() 62 v = ones; in TYPED_TEST() 64 ASSERT_EQ(v, ones) << "p_atomic_cmpxchg"; in TYPED_TEST() 65 ASSERT_EQ(r, ones) << "p_atomic_cmpxchg"; in TYPED_TEST() 67 r = p_atomic_cmpxchg(&v, ones, 0); in TYPED_TEST() 69 ASSERT_EQ(r, ones) << "p_atomic_cmpxchg"; in TYPED_TEST() [all …]
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/aosp_15_r20/external/pytorch/test/profiler/ |
H A D | test_memory_profiler.py | 157 x = torch.ones((1,)) 158 w0 = torch.ones((1,), requires_grad=True) 159 w1 = torch.ones((1,), requires_grad=True) 188 x = torch.ones((2, 2)) 208 model(torch.ones((2, 2))) 221 x = torch.ones((1,)) 222 w0 = torch.ones((1,), requires_grad=True) 223 w1 = torch.ones((1,), requires_grad=True) 285 model(torch.ones((2, 2))).sum().backward() 360 x = torch.ones((1,)).mul(2).add_(2) [all …]
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/aosp_15_r20/external/tensorflow/tensorflow/python/kernel_tests/ |
H A D | metrics_test.py | 166 return np.reshape(np.cumsum(np.ones(shape)), newshape=shape) 176 metrics.mean(array_ops.ones([4, 3])) 183 array_ops.ones([4, 3]), metrics_collections=[my_collection_name]) 190 array_ops.ones([4, 3]), updates_collections=[my_collection_name]) 239 metrics.mean(values, weights=np.ones((1, 1, 1))), 240 metrics.mean(values, weights=np.ones((1, 1, 1, 1))), 241 metrics.mean(values, weights=np.ones((1, 1, 1, 1, 1))), 242 metrics.mean(values, weights=np.ones((1, 1, 4))), 243 metrics.mean(values, weights=np.ones((1, 1, 4, 1))), 244 metrics.mean(values, weights=np.ones((1, 2, 1))), [all …]
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/aosp_15_r20/external/tensorflow/tensorflow/python/kernel_tests/array_ops/ |
H A D | inplace_ops_test.py | 32 x = array_ops.ones([7, 3], dtype) 33 y = np.ones([7, 3], dtype.as_numpy_dtype) 35 x = inplace_ops.inplace_update(x, [3], array_ops.ones([1, 3], dtype)) 39 array_ops.ones([1, 3], dtype) * 2) 42 x = inplace_ops.inplace_update(x, 5, array_ops.ones([3], dtype) * 7) 48 x = array_ops.ones([7, 3], dtypes.bool) 49 y = np.ones([7, 3], dtypes.bool.as_numpy_dtype) 51 x = inplace_ops.inplace_update(x, [3], array_ops.ones([1, 3], 66 x = array_ops.ones([7, 3], dtype) 67 y = np.ones([7, 3], dtype.as_numpy_dtype) [all …]
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/aosp_15_r20/external/executorch/exir/tests/ |
H A D | test_tracer.py | 106 y = torch.ones(x.shape[0]) 110 M(), (torch.ones(3),), dynamic_shapes={"x": {0: torch.export.Dim("x")}} 116 return torch.add(torch.ones(5), torch.ones(5), out=x) 177 inputs = (torch.ones(1, 2, 3),) 203 (torch.ones(1),), 219 example_input = torch.ones(10, dtype=torch.int64) 244 (torch.ones(3, 2, dtype=torch.int64),), 276 inp = ((torch.ones(6), (torch.ones(6), torch.ones(6))),) 388 foo, (torch.ones(6, 2), torch.ones(6, 3)), capture_config 411 captured_ep = exir.capture(FooWithBuffer(), (torch.ones(6, 2),), capture_config) [all …]
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/aosp_15_r20/external/rust/android-crates-io/crates/glam/src/features/ |
D | impl_approx.rs | 163 ($prim:ident, $type:ident, $ones:expr) => { 164 let one_eps = $ones * $type::default_epsilon(); 167 let one_ulp = $ones * $prim::from_bits($prim::to_bits(1.0) + 1); 168 let four_ulp = $ones * $prim::from_bits($prim::to_bits(1.0) + 16); 170 approx::assert_abs_diff_eq!($ones, $ones); 171 approx::assert_abs_diff_eq!($ones, $ones + one_eps); 172 approx::assert_abs_diff_eq!($ones, $ones - one_eps); 174 approx::assert_abs_diff_ne!($ones, $ones + two_eps); 175 approx::assert_abs_diff_ne!($ones, $ones - two_eps); 177 approx::assert_relative_eq!($ones, $ones); [all …]
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